On Word Error Rate Definitions and their Efficient Computation for Multi-Speaker Speech Recognition Systems

Autor:	von Neumann, Thilo, Boeddeker, Christoph, Kinoshita, Keisuke, Delcroix, Marc, Haeb-Umbach, Reinhold
Rok vydání:	2022
Předmět:	Electrical Engineering and Systems Science - Audio and Speech Processing Computer Science - Sound
Druh dokumentu:	Working Paper
DOI:	10.1109/ICASSP49357.2023.10094784
Popis:	We propose a general framework to compute the word error rate (WER) of ASR systems that process recordings containing multiple speakers at their input and that produce multiple output word sequences (MIMO). Such ASR systems are typically required, e.g., for meeting transcription. We provide an efficient implementation based on a dynamic programming search in a multi-dimensional Levenshtein distance tensor under the constraint that a reference utterance must be matched consistently with one hypothesis output. This also results in an efficient implementation of the ORC WER which previously suffered from exponential complexity. We give an overview of commonly used WER definitions for multi-speaker scenarios and show that they are specializations of the above MIMO WER tuned to particular application scenarios. We conclude with a discussion of the pros and cons of the various WER definitions and a recommendation when to use which. Comment: Presented at ICASSP 2023
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2211.16112 Zobrazit plný text záznamu View this record from Arxiv